Cristina Solares
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Transportation top 10%
- Co-authors
- Enrique CastilloRosa Eva PrunedaAntonio J. ConejoPatricia GómezEnrique Del CastilloJosé Marı́a SarabiaAli S. HadiH. Herrero
- Topics
- Bayesian Modeling and Causal Inference (8 papers)Power System Optimization and Stability (6 papers)Risk and Safety Analysis (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Power SystemsIEEE Transactions on Smart Grid
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Cristina Solares
21 papers receiving 376 citations
Peers
Comparison fields: 5 of 56
- Control and Systems Engineering 142
- Electrical and Electronic Engineering 142
- Statistics, Probability and Uncertainty 71
- Artificial Intelligence 56
- Transportation 49
Countries citing papers authored by Cristina Solares
This map shows the geographic impact of Cristina Solares's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cristina Solares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Solares more than expected).
Fields of papers citing papers by Cristina Solares
This network shows the impact of papers produced by Cristina Solares. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cristina Solares. The network helps show where Cristina Solares may publish in the future.
Co-authorship network of co-authors of Cristina Solares
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Solares. A scholar is included among the top collaborators of Cristina Solares based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cristina Solares. Cristina Solares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | Bayesian Networks in the Classification of Multispectral and Hyperspectral Remote Sensing Images | 3 |
| 10 | 66 | |
| 11 | Bayesian network classifiers. an application to remote sensing image classification | 12 |
| 12 | 44 | |
| 13 | 34 | |
| 14 | 2 | |
| 15 | 52 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 16 |
About Cristina Solares
Cristina Solares is a scholar working on Statistics, Probability and Uncertainty, Numerical Analysis and Statistics and Probability, having authored 23 papers that have together received 388 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Power System Optimization and Stability (6 papers) and Risk and Safety Analysis (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (71 citations), Transportation (49 citations) and Control and Systems Engineering (142 citations). Cristina Solares has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Enrique Castillo, Rosa Eva Pruneda, Antonio J. Conejo, Patricia Gómez, Enrique Del Castillo, José Marı́a Sarabia, Ali S. Hadi, H. Herrero, José Manuel Menéndez and José Manuel Gutiérrez. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.